4D facial expression synthesizing is a critical problem in the fields of computer vision and graphics. Current methods lack flexibility and smoothness when simulating the inter-frame motion of expression sequences. In this paper, we propose a frequency-...

We present an end-to-end camera-only drone tracking approach in a multi-agent framework. We show implementation and simulation of such a system and test the tracking components utilizing a CNN-LSTM model for range estimation tested on real data. A video ...

Sarcasm has become quite inter-related with the day to day life of all. In news robust sarcasm is often used to grab the attention of the viewers. This research aims to detect sarcasm using Evidential deep learning. This technique uses uncertainty ...

Anomaly Detection (AD) is an important area to reliably detect malicious behavior and attacks on computer systems. Log data is a rich source of information about systems and thus provides a suitable input for AD. With the sheer amount of log data ...

Fall detection is one of the main issues for the elder's health care systems because of its economic and social impact. Whereas the primary metric of such a system remains its accuracy in terms of good detection of falls and avoiding either false ...

The accuracy of recent deep learning based clinical decision support systems is promising. However, lack of model interpretability remains an obstacle to widespread adoption of artificial intelligence in healthcare. Using sleep as a case study, we ...

Smart support systems for the recognition of Activities of Daily Living (ADLs) can help elderly people live independently for longer improving their standard of living. Many machine learning approaches have been proposed lately for Human Activity ...

With the rising popularity of Ethereum, there is also an uptick in the number of smart contract based decentralized applications (DApps). Consequently, Ethereum transaction volume is growing steadily over the last few years, but so are the various types ...

In short-term passenger flow forecasting, thanks to big data analysis, we can obtain a large number of influencing factors describing the change of station passenger flow. Although this information provides a good basis for passenger flow forecasting, ...

Prescription (aka Rx) drugs can be easily overprescribed and lead to drug abuse or opioid overdose. Accordingly, a state-run prescription drug monitoring program (PDMP) in the United States has been developed to reduce Overprescribing. However, PDMP has ...

The key of video captioning is to leverage the cross-modal information from both vision and language perspectives. We propose to leverage the semantic tags to bridge the gap between these modalities rather than directly concatenating or attending to the ...

Air quality significantly affects human health and climate, good air quality and accurate air quality predictions have become one of the most widespread concerns. In previous studies, the datasets were used only in one of the major cities in the world. ...

This paper presents a hardware-software co-design for efficient sparse deep neural networks (DNNs) implementation in a regular systolic array for real-time on-device speech processing. The weight pruning format, exploring pattern-based coordinate-...

Automatic processing and verification of data obtained in experiments have an essential role in modern science. In the paper, we discuss the assessment of data obtained in meteorological measurements conducted in Biebrza National Park in Poland. ...

The 5th generation of the cellular mobile communication system (5G) is in the meantime stepwise being deployed in mobile carriers' infrastructure. Various standardization tracks as well as research activity are investigating the exploitation of the very ...

Roughly 50 million people worldwide are currently suffering from dementia. This number is expected to triple by 2050. Dementia is characterized by a loss of cognitive function and changes in behaviour. This includes memory, language skills, and the ...

Botnets have been using domain generation algorithms (DGA) for over a decade to covertly and robustly identify the domain name of their command and control servers (C&C). Recent advancements in DGA detection has motivated botnet owners to rapidly alter ...

Person-job fit is to match candidates and job posts on online recruitment platforms using machine learning algorithms. The effectiveness of matching algorithms heavily depends on the learned representations for the candidates and job posts. In this ...

It is often desirable to model multiple objectives in real-world web applications, such as user satisfaction and user engagement in recommender systems. Multi-task learning has become the standard approach for such applications recently.

While most of ...

Concepts are basic elements in any learning module and are thus very useful for modeling, summarizing, and previewing the content of any module. Automatic extraction of the major concepts from online education materials enables many useful applications. ...